Trade Area: Definition and Use in Pricing

A catchment area is the geographic region from which a retail location draws the majority of its customers. It is generally divided into a primary zone—the closest and most significant contributor—followed by secondary and tertiary zones. It is most often measured in terms of travel time rather than distance, since time is the factor that determines which store customers choose. It is used for site selection, local marketing, and pricing: it identifies which competitors a store actually faces—and therefore which competitors’ prices matter to it.

A catchment area is defined based on the travel time required to reach the store, and then this is compared with actual customer behavior. Travel time curves, known as isochrones, provide a theoretical catchment area based on the store format and mode of access. The addresses of cardholders or customers who receive deliveries are then used to verify where purchases actually come from. Physical obstacles, such as a river, an expressway, or a competing shopping center, often distort the catchment area. Finally, a map of competitors is overlaid on this area.

The primary zone includes the closest customers, who account for the bulk of the store’s sales and visit frequently. The secondary zone includes customers who live farther away and visit less often, typically for planned purchases or large shopping trips. The tertiary zone consists of occasional or passing customers. The thresholds separating these zones vary by store format: a neighborhood store is measured in minutes on foot, while a hypermarket is measured in minutes by car. When it comes to pricing, the primary zone is the most important.

The trade area is important for setting prices because it defines the competitors that a store’s customers can actually compare. A price difference with a retailer not present in the area has almost no effect on sales; the same difference with a competitor located five minutes away can have a significant impact. Thinking in terms of catchment areas therefore helps avoid two mistakes: matching prices with competitors that do not pose a threat to the store, and ignoring the competitor that is actually drawing away its customers. It also guides the decision between a single national price and prices set by store group.

You should identify competitors with a physical presence in the primary trade area, as well as the online sites that the store’s customers actually visit. In practice, a store rarely faces competition from more than a few direct retail locations, even in a densely populated area. Retailers of the same format and nearby discounters are often the top priority. The list is updated whenever a competitor opens, closes, or changes its format. Tracking a small number of carefully selected competitors—specifically for the products that customers compare—provides more useful information than a broad, uniform survey of the entire network.

Not always, but it’s a question worth asking whenever competition varies significantly from one store to another. A single price is easy to communicate and helps maintain the brand’s consistency. It becomes costly when it’s too high compared to an aggressive competitor in certain areas, and too low where there’s no competition. Geopricing addresses this by grouping stores in comparable areas under a single pricing grid. Two stores whose service areas overlap must therefore maintain similar prices; otherwise, customers will compare prices, and the brand’s price image will suffer.

A trade area is reviewed whenever an event alters competition or access to the store, and at least once a year. The triggering events are well-known: the opening or closing of a competitor, a change in store format, construction that alters travel routes, or the introduction of a fast delivery service. Between reviews, loyalty card data can be used to identify shifts in customer base. A catchment area that has remained unchanged since the store’s opening often leads to the inclusion of competitors that are no longer relevant and the exclusion of new ones.

The most common mistake is to treat each store in isolation, without considering the areas where their customer bases overlap. Two nearby stores with very different prices risk being directly compared by customers who shop at both. Another mistake is to focus only on brick-and-mortar competitors and overlook the online sites visited by customers in the area. Finally, creating multiple pricing grids per store complicates implementation without always yielding higher margins. In most retail chains, a few groups of stores with comparable competition are sufficient.